{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hide_input": false
   },
   "outputs": [],
   "source": [
    "#hide\n",
    "from utils import *"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "[[chapter_cam]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CNN interpretation with CAM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we know how to build up pretty much anything from scratch, let's use that knowledge to create entirely new (and very useful!) functionality: the *class activation map*. In the process, we'll learn about one handy feature of PyTorch we haven't seen before, the *hook*, and we'll apply many of the concepts classes we've learned in the rest of the book. If you want to really test out your understanding of the material in this book, after you've finished this chapter, try putting the book aside, and recreate the ideas here yourself from scratch (no peaking!)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CAM and hooks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Class Activation Mapping (or CAM) was introduced by Zhou et al. in [Learning Deep Features for Discriminative Localization](https://arxiv.org/abs/1512.04150). It uses the output of the last convolutional layer (just before our average pooling) together with the predictions to give us some heatmap visulaization of why the model made its decision.\n",
    "\n",
    "More precisely, at each position of our final convolutional layer we have has many filters as the last linear layer. We can then compute the dot product of those activations by the final weights to have, for each location on our feature map, the score of the feature that was used to make a decision.\n",
    "\n",
    "We're going to need a way to get access to the activations inside the model while it's training. In PyTorch this can be done with a *hook*. Hooks are PyTorch's equivalent of fastai's *callbacks*. However rather than allowing you to inject code to the training loop like a fastai Learner callback, hooks allow you to inject code into the forward and backward calculations themselves. We can attach a hook to any layer of the model, and it will be executed when we compute the outputs (forward hook) or during backpropagation (backward hook). A forward hook has to be a function that takes three things: a module, its input and its output, and it can perform any behavior you want. (fastai also provides a handy `HookCallback` that we won't cover here, so take a look at the fastai docs; it makes working with hooks a little easier.)\n",
    "\n",
    "We'll use the same cats and dogs model we trained in <<chapter_intro>>:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
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       "      <td>0.009472</td>\n",
       "      <td>00:14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.059119</td>\n",
       "      <td>0.014090</td>\n",
       "      <td>0.002706</td>\n",
       "      <td>00:18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
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       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "path = untar_data(URLs.PETS)/'images'\n",
    "def is_cat(x): return x[0].isupper()\n",
    "dls = ImageDataLoaders.from_name_func(\n",
    "    path, get_image_files(path), valid_pct=0.2, seed=42,\n",
    "    label_func=is_cat, item_tfms=Resize(224))\n",
    "learn = cnn_learner(dls, resnet34, metrics=error_rate)\n",
    "learn.fine_tune(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we'll grab a cat picture and a batch of data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = PILImage.create('images/chapter1_cat_example.jpg')\n",
    "x, = first(dls.test_dl([img]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For CAM we want to store the activations of the last convolutional layer. We put our hook function in a class so it has a state that we can access later, and just store a copy of the output:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Hook():\n",
    "    def hook_func(self, m, i, o): self.stored = o.detach().clone()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then instantiate a `Hook` and attach it to the layer we want, which is the last layer of the CNN body."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "hook_output = Hook()\n",
    "hook = learn.model[0].register_forward_hook(hook_output.hook_func)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then grab a batch and feed it through our model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "with torch.no_grad(): output = learn.model.eval()(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can access out stored activations!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "act = hook_output.stored[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's also double-check our predictions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[2.7374e-09, 1.0000e+00]], device='cuda:5')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "F.softmax(output, dim=-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We know 0 is dog (for False) because the classes are automatically sorted in fastai. We can still double check by looking at `dls.vocab`: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(#2) [False,True]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dls.vocab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So our model is very confident this was a picture of a cat."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To do the dot product of our weight matrix (2 by number of activations) with the activations (batch size by activations by rows by cols) we use a custom einsum:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 3, 224, 224])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2, 7, 7])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cam_map = torch.einsum('ck,kij->cij', learn.model[1][-1].weight, act)\n",
    "cam_map.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each image in our batch, and for each class, we get a 7 by 7 feature map that tells us where the activations were higher vs lower. This will let us see which area of the pictures made the model take its decision.\n",
    "\n",
    "For instance, the model decided this animal was a cat based on those areas (note that we need to `decode` the input `x` since it's been normalized by the `DataLoader`, and we need to cast to `TensorImage` since at the time this book is written PyTorch does not maintain types when indexing--this may be fixed by the time you are reading this):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_dec = TensorImage(dls.train.decode((x,))[0][0])\n",
    "_,ax = plt.subplots()\n",
    "x_dec.show(ctx=ax)\n",
    "ax.imshow(cam_map[0].detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n",
    "              interpolation='bilinear', cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So the eye and the right ear were the two main areas that made the model decide it was a picture of a cat.\n",
    "\n",
    "Once you're done with your hook, you should remove it otherwise it might leak some memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "hook.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's why it's usually a good idea to have the `Hook` class be a *context manager*, registering the hook when you enter it and removing it when you exit. A \"context manager\" is a Python construct that calls `__enter__` when the object is created in a `with` clause, and `__exit__` at the end of the `with` clause. For instance, this is how Python handles the `with open(...) as f:` construct that you'll often see for opening files in Python, and not requiring an explicit `close(f)` at the end."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Hook():\n",
    "    def __init__(self, m):\n",
    "        self.hook = m.register_forward_hook(self.hook_func)   \n",
    "    def hook_func(self, m, i, o): self.stored = o.detach().clone()\n",
    "    def __enter__(self, *args): return self\n",
    "    def __exit__(self, *args): self.hook.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That way, you can safely use it this way:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "with Hook(learn.model[0]) as hook:\n",
    "    with torch.no_grad(): output = learn.model.eval()(x.cuda())\n",
    "    act = hook.stored"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "fastai provides this `Hook` class for you, as well as some other handy classes to make working with hooks easier."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gradient CAM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The method we just saw only lets us compute a heatmap with the last activations, since once we have our features, we have to multiply them by the last weight matrix. This won't work for inner layers in the network. A variant introduced in the paper [Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization](https://arxiv.org/abs/1611.07450) in 2016 uses the gradients of the final activation for the desired class: if you remember a little bit about the backward pass, the gradients of the output of the last layer with respect to the input of that layer is equal to the layer weights, since it is a linear layer.\n",
    "\n",
    "With deeper layers, we still want the gradients, but they won't just be equal to the weights any more. We have to calculate them. The gradients of every layer are calculated for us by PyTorch during the backward pass, but they're not stored (except for tensors where `requires_grad` is `True`). We can, however, register a hook on the *backward* pass, which PyTorch will give the gradients to as a parameter, so we can store them there. We'll use a `HookBwd` class that will work like `Hook`, but intercepts and stores gradients, instead of activations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "class HookBwd():\n",
    "    def __init__(self, m):\n",
    "        self.hook = m.register_backward_hook(self.hook_func)   \n",
    "    def hook_func(self, m, gi, go): self.stored = go[0].detach().clone()\n",
    "    def __enter__(self, *args): return self\n",
    "    def __exit__(self, *args): self.hook.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then for the class index 1 (for `True`, which is 'cat') we intercept the features of the last convolutional layer\n",
    ", as before, and compute the gradients of the output activation of our class. We can't just call `output.backward()`, because gradients only make sense with respect to a *scalar* (which is normally our *loss*), but `output` is a rank-2 tensor. But if we pick a single image (we'll use 0), and a single class (we'll use 1), then we *can* calculate the gradients of any weight or activation we like, with respect to that single value, using `output[0,cls].backward()`. Our hook intercepts the gradients that we'll use as weights."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "cls = 1\n",
    "with HookBwd(learn.model[0]) as hookg:\n",
    "    with Hook(learn.model[0]) as hook:\n",
    "        output = learn.model.eval()(x.cuda())\n",
    "        act = hook.stored\n",
    "    output[0,cls].backward()\n",
    "    grad = hookg.stored"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The weights for our grad cam are given by the average of our gradients accross the feature map, then it's exactly the same as before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "w = grad[0].mean(dim=[1,2], keepdim=True)\n",
    "cam_map = (w * act[0]).sum(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,ax = plt.subplots()\n",
    "x_dec.show(ctx=ax)\n",
    "ax.imshow(cam_map.detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n",
    "              interpolation='bilinear', cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The novelty with gradCAM is that we can use it on any layer, here the output of the second to last ResNet group:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "with HookBwd(learn.model[0][-2]) as hookg:\n",
    "    with Hook(learn.model[0][-2]) as hook:\n",
    "        output = learn.model.eval()(x.cuda())\n",
    "        act = hook.stored\n",
    "    output[0,cls].backward()\n",
    "    grad = hookg.stored"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "w = grad[0].mean(dim=[1,2], keepdim=True)\n",
    "cam_map = (w * act[0]).sum(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "...and we can now view the activation map for this layer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,ax = plt.subplots()\n",
    "x_dec.show(ctx=ax)\n",
    "ax.imshow(cam_map.detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n",
    "              interpolation='bilinear', cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Questionnaire"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. What is a hook in PyTorch?\n",
    "1. Which layer does CAM use the outputs of?\n",
    "1. Why does CAM require a hook?\n",
    "1. Look at the source code of `ActivationStats` class and see how it uses hooks.\n",
    "1. Write a hook that stores the activation of a given layer in a model (without peaking, if possible).\n",
    "1. Why do we call `eval` before getting the activations? Why do we use `no_grad`?\n",
    "1. Use `torch.einsum` to compute the \"dog\" or \"cat\" score of each of the locations in the last activation of the body of the model.\n",
    "1. How do you check which orders the categories are in (i.e. the correspondence of index->category)?\n",
    "1. Why are we using `decode` when displaying the input image?\n",
    "1. What is a \"context manager\"? What special methods need to be defined to create one?\n",
    "1. Why can't we use plain CAM for the inner layers of a network?\n",
    "1. Why do we need to hook the backward pass in order to do GradCAM?\n",
    "1. Why can't we call `output.backward()` when `output` is a rank-2 tensor of output activations per image per class?"
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    "### Further research"
   ]
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    "1. Try removing `keepdim` and see what happens. Look up this parameter in the PyTorch docs. Why do we need it in this notebook?\n",
    "1. Create a notebook like this one, but for NLP, and use it to find which words in a movie review are most significant in assessing sentiment of a particular movie review."
   ]
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   "source": []
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